Learning
137 items from iamericfletcher/awesome-r-learning-resources ★664
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Musings on R martinctc.github.io
A blog on all things R and Data Science by Martin Chan. Topics covered include comparing dplyr and data.table, Shiny apps, ggplot, data cleaning, using RStudio, interviews with other R users/data scientists, and web scraping.
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Practical Data Science with R manning.com
The intent of this book is to present data science from a pragmatic, practice-oriented viewpoint. The book concentrates on the process of data science, from the planning stages of a project, through the data collection and exploration, to the modeling, and finally to deployment…
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Map Plots Created With R And Ggmap littlemissdata.com
Author: Laura Ellis.
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Time Based Heatmaps in R littlemissdata.com
Author: Laura Ellis.
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Learning Statistics with R learningstatisticswithr.com
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. Author: Danielle Navarro.
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Julia Silge juliasilge.com
Julia Silge is a data scientist and software engineer at RStudio where she work on open source modeling tools. She is passionate about making beautiful charts, the statistical programming language R, Jane Austen, black coffee, and red wine.
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HighlandR johnmackintosh.net
John Mackintosh's blog is a place for him to showcase demonstrations or workshops, notes he's learned at work, chart makeovers, and techniques and technology that he doesn't currently use in his role.
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Introduction to Data Analysis with R jmbuhr.de
This is a lecture series with videos, scripts and exercises introducing R and the tidyverse as well as statistical concepts.
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Gallery of Statistical Distributions itl.nist.gov
Author: NIST/SEMATECH.
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An Introduction to R intro2r.com
The aim of this book is to introduce you to using R, a powerful and flexible interactive environment for statistical computing and research. Authors: Alex Douglas, Deon Roos, Francesca Mancini, Ana Couto & David Lusseau
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The ultimate R data.table cheat sheet infoworld.com
Find code for dozens of data tasks in this searchable cheat sheet of R data.table and Tidyverse code. Author: Sharon Machlis.
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The Graphic Continuum informationisbeautifulawards.com
The Graphic Continuum shows the many different types of visualizations available to us when we encode and present data. Authors: Jonathan Schwabish, and Severino Ribecca.
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Happy Git and GitHub for the useR happygitwithr.com
Happy Git provides opinionated instructions on how to install Git and get it working smoothly with GitHub, in the shell and in the RStudio IDE, develop a few key workflows that cover your most common tasks, and integrate Git and GitHub into your daily work with R and R…
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ggplot2 - Modify components of a theme ggplot2.tidyverse.org
How to modify components of a theme in ggplot2. Author: the developers of Tidyverse.
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ggplot2: Elegant Graphics for Data Analysis ggplot2-book.org
This book provides a hands-on introduction to ggplot2 with lots of example code and graphics. It also explains the grammar on which ggplot2 is based. Author: Hadley Wickham.
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Geocomputation with R geocompr.robinlovelace.net
This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and…
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An Introduction to Statistical Learning faculty.marshall.usc.edu
This book provides an introduction to statistical learning methods. Authors: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.
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ggplot2 extensions - gallery exts.ggplot2.tidyverse.org
Maintained by Daniel Emaasit.
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Chart Suggestions — A thought-starter on choosing the way to show your data extremepresentation.typepad.com
Author: Andrew Abela, Ph.D.
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Engineering Production-Grade Shiny Apps engineering-shiny.org
This book covers the process of building a Shiny application that will later be sent to production. Authors: Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard.
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The Art of R Programming diytranscriptomics.com
This book is for those who wish to learn about developing software in R. Author: Norman Matloff.
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Getting latitude & longitude for any address discourse.looker.com
Author: Brecht Vermeire.
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R - discoRd server discord.gg
Dedicated discoRd server with the following topic-based channels: R-Main for more general discussions, R-Share for showing off your data visuals, General R Help for asking questions and sharing learning resources, and Topical Help/Discussion for issues dealing with statistics…
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A Sufficient Introduction to R dereksonderegger.github.io
This book is intended to guide people that are completely new to programming along a path towards a useful skill level using R. Author: Derek L. Sonderegger.
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Building Shiny apps - an interactive tutorial deanattali.com
This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. Author: Dean Attali.
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The Data Visualization Catalogue datavizcatalogue.com
The Data Visualization Catalogue is a project developed by Severino Ribecca to create a library of different information visualization types.
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Data Science in Education Using R datascienceineducation.com
This book is primarily about learning to use R as a tool for data science in education. Authors: Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez.
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Data Science in a Box datasciencebox.org
The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results.
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Combine Multiple GGPlots into a Figure datanovia.com
Author: Alboukadel Kassambara.
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Data Imaginist data-imaginist.com
Thomas Lin Pedersen is a data scientist turned software engineer who focuses on improving researchers’ interactions with the data they produce.
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Data Flair data-flair.training
The tutorials are grouped by skill level (beginner, intermediate, expert).
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R Tutorial – Be a Data Science rock star with R data-flair.training
A tour of the R programming language that explores its different and essential concepts. This R DataFlair Tutorial Series is designed to help beginners to get started with R and experienced to brush up their R programming skills and gain perfection in the language.
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Answering Questions with Data crumplab.github.io
This is a free textbook teaching introductory statistics for undergraduates in Psychology. The textbook was written with math-phobia in mind and attempts to reduce the phobia associated with arithmetic computations. Author: Matthew J. C. Crump.
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An Introduction to R cran.r-project.org
This introduction to R is derived from an original set of notes describing the S and S-Plus environments written in 1990–2 by Bill Venables and David M. Smith when at the University of Adelaide.
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Practical Regression and Anova using R cran.r-project.org
The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied. Author: Julian Faraway.
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Plotting distributions (ggplot2) cookbook-r.com
A tutorial for plotting a distribution of data. Author: Winston Chang.
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Practicals and Exercises columbia.edu
This series of exercises reviews some of the content discussed during the author's lectures, and introduces some other basic concepts about working with data in R. Author: Charles DiMaggio, PhD.
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Color Hex Color Codes color-hex.com
Author: Color-Hex.
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Intro to R course by Fabio Votta - part 1 colab.research.google.com
A fun introduction to R programming grouped into categories (operators, objects, functions, exercises, and data frames).
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Intro to R course by Fabio Votta - part 2 colab.research.google.com
A fun introduction to R programming grouped into categories (data manipulation and cleaning featuring the janitor, tidyr, and dplyr packages).
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A ggplot2 Tutorial for Beautiful Plotting in R cedricscherer.netlify.app
A comprehensive and easy to follow tutorial that covers working with axes, titles, legends, backgrounds, grid lines, margins, multi-panel plots, colors, themes, lines, text, coordinates, chart types, ribbons, smoothings, and interactive plots. Author: Cédric Scherer.
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Cédric Scherer cedricscherer.netlify.app
Cédric Scherer is a graduated computational ecologist and freelance data visualization expert who has created visualizations across all disciplines, purposes, and styles and regularly teaches data visualization principles, R, and ggplot2.
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Exploratory Data Analysis with R bookdown.org
This book covers the essential exploratory techniques for summarizing data with R. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Author: Roger D. Peng.
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JavaScript for R book.javascript-for-r.com
The ultimate aim of this work is to demonstrate to the reader the many great benefits one can reap by inviting JavaScript into their data science workflow. Author: John Coene.
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Modern R with the tidyverse b-rodrigues.github.io
The idea of Chapters 1 to 7 is to make you efficient with R as quickly as possible, especially if you already have prior programming knowledge. Starting with Chapter 8 you will learn more advanced topics, especially programming with R. Author: Bruno Rodrigues.
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Avery Robbins avery-robbins.com
Avery Robbins loves to learn and to share useful or awesome things that have benefited him personally. This website is a tool for him to actively do just that: share knowledge, ideas, and tips that are helpful.
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data.table: A gentle introduction atrebas.github.io
A quick introduction to data.table. The main objective is to present the data.table syntax, showing how to perform basic, but essential, data wrangling tasks. Author: Atrebas.
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Data.Table and Dplyr Tour atrebas.github.io
A detailed comparison of R packages data.table and dplyr. Author: Atrebas.
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Introduction to Probability and Statistics Using R atmos.albany.edu
The book can be subdivided into three basic parts. The first part includes the introductions and elementary descriptive statistics; I want the students to be knee-deep in data right out of the gate. The second part is the study of probability, which begins at the basics of sets…
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Alex Cookson alexcookson.com
Alex Cookson loves making beautiful visualizations and easy-to-read walkthroughs of R concepts. He's particularly interested in data about media, like books, movies, and musicals.
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